Harness Unveils New AI Products to Enhance Enterprise Engineering ROI Transparency

Harness Enhances ROI Visibility with New AI Solutions

Harness, the company behind the AI Software Delivery Platform™, has recently launched two groundbreaking products aimed at giving engineering organizations enhanced visibility into their AI expenditures and associated return on investment (ROI). The products, AI DLC Insights and Cloud AI Cost Management, are tailor-made to address the pressing question on every enterprise leader’s mind: How effectively is our investment in AI translating into measurable business outcomes?

The AI Spending Landscape

According to a report from Gartner, global spending on AI software is predicted to soar to $2.59 trillion by 2026, reflecting an impressive 47% increase from the previous year. Despite this surge in investment, a staggering 94% of engineering leaders report that vital metrics to gauge success and efficiency are absent from their current measurement frameworks, leading to a disconnect between spending and tangible results.

Trevor Stuart, SVP and GM at Harness, highlights this dilemma, stating, "Every enterprise we talk to is asking the same question: we are spending more on AI than ever, so why can't we show what it's doing for us?" He emphasizes that the current focus should be on demonstrating the positive impact of these tools, marking the next critical phase in AI adoption.

AI DLC Insights: Bridging Developer Spend to Code Outcomes

In the realm of software development, AI tools have become an integral part of the coding process. However, until now, the financial implications of AI assistance on developer output have remained elusive. The AI DLC Insights product connects the dots between developer token spending and the actual shipping of their code. With this tool, teams can understand how much of their AI-generated work is beneficial and how much is wasted.

By utilizing a new on-machine developer agent, AI DLC Insights allows organizations to track token costs associated with various AI models and tools, tying these expenses directly to production outcomes. Key features include a unified view of AI coding adoption, per-developer attribution tracking, wasted spending detection, and the ability to benchmark performance against organizational averages.

Cloud AI Cost Management: Optimizing Infrastructure Spend

On the flip side, once AI solutions deploy to production, another layer of cost management becomes crucial. The Cloud AI Cost Management product offers a comprehensive examination of every dollar spent on AI infrastructure. This tool collects detailed spending data at the level of individual requests and ties it back to the agents and workflows responsible for generating those costs.

This product extends the existing Harness Cloud Cost Management capabilities, providing a unified view of all AI spending across multiple providers, including major firms like OpenAI and AWS. Features such as anomaly detection for unusual spending spikes and governance controls for budget management are designed to optimize AI-related expenditures effectively.

Availability and Future Directions

Both AI DLC Insights and Cloud AI Cost Management are currently available in beta within the Harness platform. Interested organizations can explore these tools further by requesting a demo to see firsthand how they can improve spending efficiency and drive meaningful business outcomes.

The launch of these products reflects Harness’s commitment to empowering engineering teams with the tools needed to navigate the increasingly complex AI landscape. Companies like United Airlines and Morningstar already leverage Harness’s platform to improve their operational efficiency significantly. As the field of enterprise AI continues to evolve, having precise visibility into spending and its impacts will undoubtedly become a defining factor for success in the technology sector.

Harness is positioned to lead the charge in this critical area, ensuring that organizations can not only invest in AI but do so in a way that maximizes their returns on these investments.